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Visualization of wine reviews data | |
Author | Bindhu, Patkari Hima |
Call Number | AIT RSPR no.ICT-18-11 |
Subject(s) | Visual communication Data mining Visual analytics |
Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Research studies project report ; no. ICT-18-11 |
Abstract | Wine, it’s a composite realm of ideal acquaintance and tasting practice. There are diverse types of writings on wine, like common reportages, editorials, ads and technical type of texts, wine reviews symbolize a sort of content which is written by wine journalists targeting at both consumers and producers of wine. When a wine consumer visits new place he/she will have no idea where he/she can get a particular wine in that place. In my data set I am provided with Country, Province, Variety, Winery, Price, and Taster. In today’s digital world, we are producing and processing petabytes of information consistently. Big data will be continuously revitalizing in all the parts of life. But processing and analyzing data is not sufficient, human brain tends to discover patterns productively when data is represented visually. Visualization and Analytics of data plays a significant role in decision making. This leads to fresh opportunities in domain of visualization, representing the imaginative ideation in order to solve the large problems with data through means of visualization. Visualization of large amount of data in real time is a tough challenge. This research is focused on applying Visualization to Wine Reviews database. Hence, I would like to apply a range of interactive visualization tools to large corpus of wine reviews that makes a way for better understanding of data to users and data analyst. |
Year | 2018 |
Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-18-11 |
Type | Research Study Project Report (RSPR) |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Information and Communication Technology (ICT) |
Chairperson(s) | Guha, Sumanta; |
Examination Committee(s) | Teerapat Sanguankotchakorn;Bohez, Erik L.J.;Nicole, Olivier; |
Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018 |